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TLDR: We’re looking for a DevOps Engineer to build and maintain the cloud and on-prem infrastructure behind our platform: Kubernetes clusters, CI/CD pipelines, observability, networking, and automation that keep production reliable, secure, and scalable.
White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.
We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
We process over one hundred million API calls every month
We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model
We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
Design, build, and maintain production infrastructure in AWS and on-prem environments.
Manage and improve Kubernetes clusters for deployments, scaling, reliability, and daily operations.
Develop and maintain CI/CD pipelines for safer, faster, and more reliable releases.
Maintain container infrastructure, including Docker image management, runtime security, and lifecycle.
Enhance system reliability, performance, and observability through monitoring, alerting, and troubleshooting.
Manage infrastructure as code with Terraform to ensure consistent and adaptable environments.
Oversee networking across the stack, including routing, firewalls, load balancing, and cluster communication.
Automate tasks and improve workflows with Python scripts and internal tools.
Collaborate with engineering and ML teams to support product infrastructure, internal platforms, and compute-intensive workloads.
Have hands-on experience with AWS services (S3, EKS, IAM, and ECR).
Сomfortable working not only in cloud environments, but also with real production on-prem infrastructure.
Have strong Unix/Linux fundamentals and can confidently troubleshoot, tune, and operate systems in production.
Worked with Docker in real environments and understand how to build secure, efficient container setups.
Have practical experience with Kubernetes (EKS, k0s, or similar environments).
Built or maintained real CI/CD pipelines and understand how to make deployments reliable.
Understand networking well, including TCP/IP, routing, firewalls, and load balancing.
Have solid Terraform and Infrastructure-as-Code experience.
Worked with Datadog for monitoring and observability.
Use Python comfortably for automation and internal tools.
You communicate clearly and work well with others. Fluent English.
A big plus:
Experience with machine learning or GPU workloads.
Experience with multi-cluster or multi-cloud environments.
Exposure to security-focused infrastructure, air-gapped environments, or locked-down systems.
Salary of $80,000 to $150,000 + equity
Paid time off in line with your local regulations, no matter where you work from
Work from Paris (hybrid) + relocation package
Best medical insurance in France
All the hardware, tools, and services you need
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez
Intro call with one of our colleagues (20 min)
Technical interview with DevOps (1.5h)
Final call with our CEO (50 min)
Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join
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